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TuckRhodes
Helper I
Helper I

Data Warehouse Drop Column

I unfortunately made a mistake with the data type of a few columns in a warehouse I created.

 

I want to simply change the data type of said columns but it looks like that isn't supported yet.

 

So I thought I would just drop the columns and create them again but it also appears that this is not supported yet.

 

Is the only solution to this really to drop the table and recreate it? Am I misunderstanding the linked documentation?

 

Huge seems like a huge limitation if so.

 

Source: https://learn.microsoft.com/en-us/fabric/data-warehouse/tsql-surface-area

1 ACCEPTED SOLUTION
NandanHegde
Super User
Super User

The below blog provides explict details w.r.t alter table scenarios that are supported as of today in fabric warehouse and the limitations :

https://www.serverlesssql.com/the-reality-of-alter-table-in-fabric-warehouses-2/

 

Unfortunately , you would have to create a new table, sync the data to new table and drop the old table as the easy way around




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Nandan Hegde (MSFT Data MVP)
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Twitter Profile : @nandan_hegde15
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2 REPLIES 2
NandanHegde
Super User
Super User

The below blog provides explict details w.r.t alter table scenarios that are supported as of today in fabric warehouse and the limitations :

https://www.serverlesssql.com/the-reality-of-alter-table-in-fabric-warehouses-2/

 

Unfortunately , you would have to create a new table, sync the data to new table and drop the old table as the easy way around




----------------------------------------------------------------------------------------------
Nandan Hegde (MSFT Data MVP)
LinkedIn Profile : www.linkedin.com/in/nandan-hegde-4a195a66
GitHUB Profile : https://github.com/NandanHegde15
Twitter Profile : @nandan_hegde15
MSFT MVP Profile : https://mvp.microsoft.com/en-US/MVP/profile/8977819f-95fb-ed11-8f6d-000d3a560942
Topmate : https://topmate.io/nandan_hegde
Blog :https://datasharkx.wordpress.com

Unfortunately, I suspected something like this. Thank you!

 

I also found a work around by remaking the columns with ADD COLUMN and just appending "_corrected" to the column name, then renaming it in a view. Not ideal but got the job done.

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